Sign language is a sophisticated means of communication vital to individuals who are deaf or hard-of-hearing, relying on hand movements, facial expressions, and body language.
Researchers developed a custom dataset of 29,820 static images of American Sign Language hand gestures, annotating each with 21 key landmarks to enhance detection accuracy.
The study highlights the need for a dependable real-time system to convert sign language gestures, breaking down communication barriers for the deaf and hard-of-hearing.
By leveraging detailed hand pose information, the YOLOv8 model achieved a refined detection process, enhancing the accuracy of recognizing American Sign Language gestures.
#sign-language #communication-accessibility #computer-vision #artificial-intelligence #machine-learning
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